List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.
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127,264 tools. Last updated 2026-05-05 12:27
"Sequential Thinking and Related Concepts" matching MCP tools:
- Fast lookup for exact Pine Script API terms and known concepts. Use for exact function names and Pine Script vocabulary (e.g., "ta.rsi", "strategy.entry", "repainting", "request.security"). For natural language questions, read the docs://manifest resource for routing guidance, then use get_doc() or list_sections() + get_section().Connector
- List available AI models grouped by thinking level (low/medium/high). Shows default models, credit costs, capabilities for each tier. Use this before consult to understand model options.Connector
- WHEN: you need context on multiple D365 objects or concepts simultaneously -- runs all queries in parallel. Use INSTEAD of multiple sequential search_d365_code calls -- each line becomes one parallel search. Maximum 6 queries per call. Results are equivalent to search_d365_code but returned together. When batch_search returns results, all matching objects are FULLY loaded (all chunks). Do NOT follow up with get_object_details on the same objects -- the complete source is already included. Triggers: 'find all of these', 'look up multiple', 'cherche plusieurs', 'SalesTable AND VendTable', 'several objects at once', 'lookup X and Y and Z', 'plusieurs objets en même temps', 'context on all of these'.Connector
- Search the web using Bing. Returns organic results, related searches and more. Alternative to Google for web search with different ranking algorithms and results.Connector
- Guided reporting and visualization for Senzing entity resolution results. Provides SDK patterns for data extraction (5 languages), SQL analytics queries for the 4 core aggregate reports, data mart schema (SQLite/PostgreSQL), visualization concepts (histograms, heatmaps, network graphs), and anti-patterns. Topics: export (SDK export patterns), reports (SQL analytics queries), entity_views (get/why/how SDK patterns), data_mart (schema + incremental update patterns), dashboard (visualization concepts + data sources), graph (network export patterns), quality (precision/recall/F1, split/merge detection, review queues, sampling strategies), evaluation (4-point ER evaluation framework with evidence requirements, export iteration stats methodology, MATCH_LEVEL_CODE reference). Returns decision trees when language/scale not specified.Connector
Matching MCP Servers
- AlicenseAqualityBmaintenanceSimple sequential thinking MCP in pythonLast updated13MIT
- Alicense-qualityFmaintenanceFacilitates structured creative thinking through sequential thought processing, helping users shift from reactive problem-solving to proactive outcome creation using structural tension analysis and stage-based thinking workflows.Last updated1MIT
Matching MCP Connectors
Find relevant Smart‑Thinking memories fast. Fetch full entries by ID to get complete context. Spee…
Geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries.
- Search for code snippets and examples in official Microsoft Learn documentation. This tool retrieves relevant code samples from Microsoft documentation pages providing developers with practical implementation examples and best practices for Microsoft/Azure products and services related coding tasks. This tool will help you use the **LATEST OFFICIAL** code snippets to empower coding capabilities. ## When to Use This Tool - When you are going to provide sample Microsoft/Azure related code snippets in your answers. - When you are **generating any Microsoft/Azure related code**. ## Usage Pattern Input a descriptive query, or SDK/class/method name to retrieve related code samples. The optional parameter `language` can help to filter results. Eligible values for `language` parameter include: csharp javascript typescript python powershell azurecli al sql java kusto cpp go rust ruby phpConnector
- Walk the graph from a starting node, discovering connected knowledge. Returns all nodes reachable within max_depth hops, with their distance from the start. Essential for exploring knowledge graphs — find related concepts, trace connections, discover clusters. Example: Start from "Alan Turing", traverse outgoing relationships up to 3 hops deep: start_entity_type: "person" start_entity_id: "alan-turing-001" max_depth: 3 direction: "outgoing" Supports filtering by relationship types and direction.Connector
- Create multiple relationships at once (up to 500 per call). Uses Neo4j UNWIND for high performance. Essential for connecting knowledge — link hundreds of concepts, people, and events in one operation. Each relationship needs: from_id, to_id, and optional data (properties). Example: rel_type: "related_to" relationships: [ {"from_id": "quantum-mechanics-001", "to_id": "wave-function-001", "data": {"strength": "strong"}}, {"from_id": "quantum-mechanics-001", "to_id": "superposition-001", "data": {"strength": "strong"}} ]Connector
- Quick company lookup: facilities (with addresses and operations) and enforcement actions (recalls) for a single company and its known aliases. Costs 1 credit. Excludes: 510(k) clearances, PMA approvals, drug applications, inspection history, and subsidiary data. Related: fda_company_full (adds clearances/approvals/drugs for 5 credits), fda_suggest_subsidiaries (discover related entities), fda_get_facility (per-facility products and operations by FEI).Connector
- Delete a public agenda permanently. Cascades to related sessions booked through this agenda, comments, and service configs. Requires confirm: true. Cannot be undone.Connector
- Point VARRD's autonomous AI in a direction and let it discover edges for you. Give it a topic and it draws from one of the most comprehensive market structure knowledge graphs ever built — containing ideologies and theories, not statistics — so it generates genuinely novel hypotheses rather than overfitting to what already worked. BEST FOR: Exploring a space broadly. Give it 'momentum on grains' and it might test wheat seasonal patterns, corn spread reversals, or soybean crush ratio momentum. It propagates from your seed idea into related concepts you might not think of. Returns a complete result — edge or no edge, stats, trade setup. Each call tests ONE hypothesis through the full pipeline. Call again for another idea. Requires credits. Use 'varrd_ai' instead when YOU have a specific idea to test and want full control over each step.Connector
- Find Smart Data Models that are semantically related to a given model. Useful for discovering adjacent models when building multi-entity systems — e.g., related models for 'OffStreetParking' might surface 'ParkingSpot' and 'ParkingGroup'. Example: get_related_models({"model_name": "OffStreetParking", "relationship_type": "all"})Connector
- Browse the entity catalog: beings, places, orders, races, religions, and concepts mentioned in the Urantia Book. Supports filtering by type and searching by name.Connector
- Find knowledge base entries similar to a given entry by comparing tags and content. Returns related contexts ranked by similarity score. Useful for discovering related patterns, examples, or documentation after finding one relevant entry.Connector
- Find articles related to a given PubMed article. Uses NCBI's computed similarity to find conceptually related papers. Useful for literature review expansion. Args: pmid: PubMed ID of the source article. limit: Maximum related articles to return (default 10, max 50).Connector
- Search for code snippets and examples in official Microsoft Learn documentation. This tool retrieves relevant code samples from Microsoft documentation pages providing developers with practical implementation examples and best practices for Microsoft/Azure products and services related coding tasks. This tool will help you use the **LATEST OFFICIAL** code snippets to empower coding capabilities. ## When to Use This Tool - When you are going to provide sample Microsoft/Azure related code snippets in your answers. - When you are **generating any Microsoft/Azure related code**. ## Usage Pattern Input a descriptive query, or SDK/class/method name to retrieve related code samples. The optional parameter `language` can help to filter results. Eligible values for `language` parameter include: csharp javascript typescript python powershell azurecli al sql java kusto cpp go rust ruby phpConnector
- The full source code (core only) of the HMR library. Always call `learn-hmr-concepts` to learn the core concepts before calling this tool. These files are the full source code of the HMR library, which would be very helpful because good code are self-documented. For a brief and concise explanation, please refer to the `hmr-docs://about` MCP resource. Make sure you've read it before calling this tool. To learn how to use HMR for reactive programming, read the unit tests later. The response is identical to the MCP resource with the same name. Only use it once and prefer this tool to that resource if you can choose.Connector
- Permanently deletes one project and its related data, including connected social accounts, OAuth grants, media references, and posts.Connector
- Get a category and its featured images. Categories group related tags (e.g. "charts", "memes", "lightning-network").Connector